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Summer Google Earth Engine Jobs (NOW HIRING)

Geo Owl

Imagery Scientist - EO Expert

Springfield, VA · On-site

Experience developing, testing, and evaluating algorithms, processes, methodologies, and products using EO imagery with tools such as Python, MATLAB, and Google Earth Engine. * Ability to communicate ...

Geo Owl

Imagery Scientist - EO Expert

Springfield, VA · On-site

Experience developing, testing, and evaluating algorithms, processes, methodologies, and products using EO imagery with tools such as Python, MATLAB, and Google Earth Engine. * Ability to communicate ...

GRVTY

Imagery Scientist (SAR)- Expert

Saint Louis, MO · On-site

Google Earth Engine * SARPy * Conduct exploitation and analysis of SAR imagery to identify and locate objects of interest What You Must Have * Active TS/SCI Clearance with the ability to obtain a CI ...

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How much do summer google earth engine jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for summer google earth engine in the United States is $22.08, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Summer Google Earth Engine vs Summer GIS Intern?

AspectSummer Google Earth EngineSummer GIS Intern
Required CredentialsKnowledge of remote sensing, programming (Python, JavaScript), GIS fundamentalsBasic GIS skills, coursework in geography or related fields, some programming knowledge
Work EnvironmentResearch-focused, often remote or in-office, tech-driven projectsFieldwork, office, or lab settings, supporting GIS data collection and analysis
Employer & Industry UsageTech companies, research institutions, environmental agenciesGovernment agencies, environmental consultancies, universities
Comparison Search IntentUnderstanding technical skills and project scopeExploring internship opportunities and required skills

The Summer Google Earth Engine role focuses on advanced remote sensing and programming skills to analyze geospatial data using Google Earth Engine platform. In contrast, a Summer GIS Intern typically supports GIS data management and analysis with foundational GIS knowledge. Both roles are valuable in geospatial industries but differ in technical depth and project focus.

What is a Summer Google Earth Engine position?

A Summer Google Earth Engine position typically refers to a seasonal internship or research role where students or early-career professionals use Google Earth Engine (GEE) during the summer months. Google Earth Engine is a cloud-based platform for planetary-scale environmental data analysis. Interns or researchers in this position work on projects involving remote sensing, geospatial data analysis, and visualization using GEE tools. The role often involves processing satellite imagery, developing geospatial applications, and contributing to environmental or climate science projects. These positions provide hands-on experience with cutting-edge technology and real-world datasets.

What are the key skills and qualifications needed to thrive as a Summer Google Earth Engine Intern, and why are they important?

To thrive as a Summer Google Earth Engine Intern, you typically need a background in geography, environmental science, or computer science, along with experience in remote sensing and geospatial analysis. Familiarity with Google Earth Engine, programming languages like JavaScript or Python, and GIS platforms is highly valuable. Strong analytical thinking, problem-solving, and effective communication skills help interns interpret data and collaborate with multidisciplinary teams. These abilities are essential for extracting actionable insights from complex spatial data and contributing to impactful environmental or research projects.

What types of projects and collaborations can I expect as a Summer Google Earth Engine intern?

As a Summer Google Earth Engine intern, you’ll typically work on geospatial analysis projects that leverage satellite imagery and big data to address environmental, agricultural, or urban challenges. You’ll collaborate closely with data scientists, software engineers, and researchers, often working in multidisciplinary teams to design, implement, and share meaningful analyses. Interns may also have opportunities to contribute to open-source tools, present findings to stakeholders, and participate in regular team meetings or seminars. This collaborative environment fosters learning and skill development, making it an excellent stepping stone for careers in geospatial technology or environmental data science.
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Summer Google Earth Engine jobs near you
Infographic showing various Summer Google Earth Engine job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 78% Full Time, 5% Part Time, 14% Contract, and 1% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $45,925 per year, or $22.1 per hour.

Imagery Scientist (SAR)- Expert with Security Clearance

GRVTY

Saint Louis, MO

Other

Posted 19 days ago

Job description

What Impact You'll Have GRVTY is seeking a motivated and experienced imagery scientist to serve as the lead SAR subject matter expert (SME) on our dynamic team. The ideal candidate is an expert imagery scientist with a passion for advanced scientific problem solving, imagery exploitation, and operational intelligence support. This role will drive solutions informed by specific phenomenology limitations and advantages of the sensors and platforms in mind.

What You'll be Owning Serve as the lead technical authority for SAR exploitation and imagery science initiatives. Analyze: SAR collection characteristics Sensor phenomenology Image formation processes Develop, test, and evaluate: New algorithms Exploitation methodologies Scientific workflows Automated processing techniques Utilize advanced processing tools including: Python MATLAB Google Earth Engine SARPy Conduct exploitation and analysis of SAR imagery to identify and locate objects of interest What You Must Have Active TS/SCI Clearance with the ability to obtain a CI/Poly 6+ years of advanced SAR exploitation and imagery science experience Demonstrated expertise in: SAR collection and phenomenology Image formation processes Exploitation methodologies Sensor metadata interpretation Hands-on experience with: SARPy MATLAB SAR Toolbox Strong knowledge of: RNIIRS Information theoretic image quality metrics Integrated Sidelobe Ratio (ISLR) Multiplicative Noise Ratio (MNR) h) SAR geometry impacts Experience developing and evaluating: Algorithms Automated workflows Scientific exploitation methods Strong skills using: Python MATLAB Google Earth Engine Deep understanding of: Remote sensing principles Advanced imagery exploitation Geospatial intelligence methodologies Proven ability to communicate technical concepts to: Technical audiences Non-technical stakeholders Intelligence users What Would be Nice to Have * Experience applying CV and machine learning (ML) techniques to SAR imagery and data to address intelligence problems

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